We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
This paper presents a technique for recovering the high level design of legacy software systems according to user defined architectural plans. Architectural plans are represented...
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
In this paper we describe the application of data mining methods for predicting the evolution of patients in an intensive care unit. We discuss the importance of such methods for ...
In this study, super high-definition immersive visual data mining environment using 4K stereo projector was developed. In this system, data can be represented with high accuracy in...